STATISTICS 12 Assignment: Regression, SVM, and Neural Nets

This assignment solution for STATISTICS 12 covers a range of statistical concepts and their applications. The first section addresses review questions on kernel functions in Support Vector Machines (SVMs), and the objective functions for Ridge and LASSO regression models. It also includes the activation functions for a neural network. The second section focuses on building a model to classify spam emails using a dataset from Hewlett-Packard labs, detailing the partitioning of data into training, validation, and testing sets, and the application of binomial regression. The final section addresses the development of a model to predict home values in the Boston area using data from the 1970s, with an emphasis on model validation, comparison, and selection using cross-validation techniques. The solution includes data analysis, model building, and evaluation, providing a comprehensive approach to the assignment's objectives.